Human-Assisted Calibration of an Angulation Based Location Indoor System With Preselection of Measurements

Besides aspects like accuracy and cost, a simple setup process is essential for the adoption of location systems. However, existing systems often require a time-consuming calibration process to determine sensor node positions or orientations. In this paper, the authors present a software aided approach for the calibration of an angulation-based indoor location system, which only demands from the user to walk through the room. The novelty of the presented approach is that a completely passive sensor technology is applied whereas the calculations are exclusively based on angular measurements. The node localization is realized without any prior knowledge of sensor positions, orientations or the location of the moving person.